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Comparison of the performance of a trained and an untrained sensory panel on sweetcorn varieties with the panelcheck software
77-83Views:632In this paper the results of trained and untrained sensory panels are compared on five Hungarian commercial sweet corn samples. The two evaluations were carried out in a sensory laboratory (ISO 6658:2005), with the same experimental design, with two replicates, and the panels consisted of 10 panelists. In both cases the panels assembled the profiles of the samples according to the vocabulary chosen by the trained panelists. The results show that the untrained panel has higher standard deviation, weaker repeatability and less significant parameters (ISO/DIS 11132). However 10 of the 17 sensory attributes were significant in the case of the untrained panel, the trained panel has 15 significant parameters with lower standard deviation and good repeatability. During the statistical investigation we focused on the panel performance and used the PanelCheck open source software package to achieve this goal. We followed the workflow suggested by the researchers of the Nofima, the developers of the PanelCheck. According to the examined parameters the trained panel has better discrimination ability (F values) for attributes ’yellow color’, ’hue’, roughness’, ’freshness’, ’juiciness’, ’tenderness’. There was not an attribute evaluated by the untrained panel where all the panel members reached the line representing the 5% significance level. Furthermore the trained panel has better agreement between its assessors (Tucker-1 plots) and the repeatability is much better according to the MSE plots. This examination confirms that it is necessary to train the panels in order to get reliable and consistent results.
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Analysis the advanced ICT usage of the Hungarian SME sector for preparing a domestic agri-food research
147-153Views:175In the Hungarian agro-food sector SMEs have a key role but regarding the tendency of the performance of SME sector, comparing to EU-28 average, the performance of Hungarian SME sector has gradually worsened between 2008 and 2015 while the EU average has an increasing trend. ICT can help enterprises and this article is an overview of the ICT situation of Hungarian SMEs. It is important to analyse in detail the ICT usage characteristics of agro SMEs in the food supply chain because these ICT devices, tools and services are crucial to smooth the information flow within the chain. For all these reasons our work aims to find out how Hungarian agro-food SMEs use ICT and how ICT adoption affect their business procedures, performance and development. A striking observation to emerge from the data comparison is the difference among SMEs and large enterprises regarding the usage of the different basic and advanced ICT solutions. A much bigger percent of large companies use advanced ICT then SMEs and mainly small enterprises are lagging behind as the attitudes of medium sized enterprises are rather similar to the large ones. In Hungary small enterprises in agro-food industry are in difficult financial state and for them free Cloud Computing services can offer good opportunities as they do not have initial costs. ICT adoption is very important to them as ICT sector is a dynamically growing sector and if customers and partners of an enterprise adapt faster to these technological innovations, it may have a negative effect on the different processes, performance and financial results of the organisation. In this article our aim was to determine the main question groups for our questionnaire which focus mainly on ICT solutions supporting the quality of communication and relationship between partners. As the basic IT tools are available in the major part even in the SMEs besides large companies, the two main issues will be the usage of advanced online services and the usage of high quality ICT solutions.
JEL Code: M15
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Changing patterns in hotel room demand – case study of the Aquaticum Debrecen Thermal and Wellness Hotel
51-55Views:118Aquaticum Debrecen Thermal and Wellness Hotel is a very successful lodging property not only in Debrecen but also in the Northern Great Plain Region and in the Eastern part of Hungary and in point of fact in Hungary. In the past yearsAquaticum Thermal and Wellness Hotel has been the leader in the region by revenue per available rooms (RevPAR). RevPAR indicates the overall performance of properties, accordingly it is the most commonly used statistical indicator in comparison to competitors in Hotel industry. In the past years, demand for Hotel rooms has changed. This changing has several signs. For instance the occupancy rate, the rate of domestic and foreign guests, the nationality of foreign guests, the time between booking and travelling, andm many other demand patterns have changed. During the last year, the changing has been accelerated by the global economic crisis. Guests are waiting with their bookings hoping for better rates and last minute offers. The forecast of demand became much harder than ever before. These forecasts are basic ingredients of the revenue management systems, which systems are in use or will be in use by Hungarian Hotels. These systems are necessary to keep RevPAR at a higher level and to help Hotels to achieve better performance.
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Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches
67-72Views:110This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA) and the parametric Corrected Ordinary Least Squares (COLS) and Stochastic Frontier Analysis (SFA) approaches. Mean technical efficiency is found to be sensitive to the choice of estimation technique. Analysis of variance and Tukey’s test suggests significant differences in means between efficiency scores from different methods. In general the DEA and SFA frontiers resulted in higher mean technical efficiency estimates than the COLS production frontier. The efficiency estimates of the DEA have the smallest variability when compared with the SFA and COLS. There exists a strong positive correlation between the efficiency estimates based on the three methods.
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The economic situation of Hungarian crop production enterprises, especially in Hajdú-Bihar county
Views:191Increasing the competitiveness of Hungarian crop production plays a key role in moving forward at the international level. However, improving efficiency and profitability is essential in this regard. The natural resources in Hungary provide an excellent opportunity for crop production. About 8% of the arable land in Hungary (a total of 4.3 million hectares) belongs to farmers in Hajdú-Bihar County. This research is based on secondary data that can be found in the HCSO and EMIS databases. HCSO data was used for the comparison of national and county data characterising crop production, while the EMIS database was used to process the financial data of enterprises dealing with field crop production. The Hungarian sample size is 853, of which 69 enterprises are from Hajdú-Bihar County. The aim of this study is to assess the profitability, assets and financial situation of arable crop production enterprises operating in Hajdú-Bihar County as a function of national average data. Based on the examined profitability indicators (operating ROS and ROA), it was established that the enterprises in Hajdú-Bihar County are profitable, even in a national context. In terms of operating ROS, the farms in the examined county were able to achieve a 3.6 percentage point higher value due to their more efficient cost management, despite having a similar level of technology compared to businesses spanning across the entire country. The proportion of farms with the lowest leverage ratio (<20%) is 16 percentage points higher at the county level than at the national level. In addition, almost 70% of the enterprises operating in Hajdú-Bihar County have excellent liquidity. This rate is 50% at the national level.
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Competetiveness of the Montenegrin fruit and vegetables sector and recommendtations for impovement
69-75Views:87A number of facts, primarily including high fragmentation at all levels, weak vertical integration, limited dimensions in comparison to competitors poor technological level and unbalanced quality/price ratio make the sector weak, low competitive and exposed to international competition, reducing its capacity to capture any existing market potential. Almost all opportunities are frozen by prevailing weaknesses and threat impacts are exacerbated by a largely prevailing number of weaknesses. High production unit cost appears to be a major constraint to local supply market competitiveness. This situation appears to be mainly caused by general low levels of productivity – provoked by not adequate and up-to-date cultivation practices, reduced levels of input use, utilisation of old and, therefore, less performing varieties, and also farm management shortcomings. High losses from reduced availability of post-harvest facilities and equipment add up to the problem. The improvement of the sector is not easy. In other words, there is a lot to do for the Montenegrin sector operators to increase sales: tackle imports and increase market shares in the domestic market and abroad. Based on our research, we suggest that the Montenegrin fruit and vegetable sector should primarily aim at substituting imports, increasing domestic consumption and developing exports to the region (CEFTA countries) primarily via promising market opportunities. Based on our analyses of the state of affairs of the sector, the competitiveness and the market potentials, the recommendations for improvement competitiveness are outlined.
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TRENDS IN HONEY CONSUMPTION AND PURCHASING HABITS IN THE EUROPEAN UNION
Views:240Honey is a staple food of animal origin, with many beneficial properties, so the study of consumption and purchasing habits is an important issue. The main aim of our research is to present the market situation and conditions of the domestic beekeeping sector from the consumer's point of view. We considered it appropriate to present the beekeeping market because the European Union is the second largest honey producer in the world and Hungary is the largest honey producer in the EU. Thus, global and EU trade changes, market trends and changes in consumer habits are significant factors influencing the domestic situation. The market situation is presented through a review of the relevant domestic and foreign literature, and statistical databases (EU Member States' honey programmes, KSH, OMME, Statista databases and reports) are analysed. The research aims to find out the direction of honey consumption and purchasing patterns and trends in European honey consumption. We chose an online questionnaire survey method to assess consumption and purchasing habits in Hungary and present the results in comparison with similar Hungarian studies. To analyse the situation in Europe, we have collected and analysed relevant research reports, primary and secondary studies from several EU countries. Finally, the data from each country are compared, highlighting similarities and differences.
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Hungarian dairy and beef production sector technical efficiency comparsion using DEA
131-138Views:197To examine and compare the technical efficiency of dairy sector and the beef sector, this research introduced the main indicators of milk and beef production in the world, EU and Hungarian aggregates. Based on the data it can be said that the milk and beef production of Hungary does not occupy any significant position in the world as well as in the European Union neither today nor even in the past. If Hungry must compete in the European counties and international market, their dairy sector must focus to increase of their production efficiency as the key breakthrough point. This paper we compared technical efficiency of both dairy and beef sectors in total, for the year 2014 and 2015 separately and based on the farm size. The specific objectives of the research are: comparing dairy and beef farms efficiency in Hungary. Based on the results, we can determine which sector in Hungary is more effective. The second objective is to compare the efficiencies of both the sectors in 2014 and 2015 separately and from the results we can determine which year was more effective in terms of production efficiency and the third objective of the research is technical efficiency comparison of certain economic sizes for both sectors. In the research, we used (KOVACS, 2009) deterministic (DEA) model adapted to the Hungarian dairy farms and beef farms. For the dairy farms milk and dairy products as well as meat (other income). The input factors originated from the domestic AKI - FADN database. Summarizing the results of the research it can be conclude that the dairy sector is more effective than the beef sector in Hungary. In terms of years compared 2014 was more effective for both sector as compared with 2015. In regards to the farm size almost the same result in evaluating the scale of efficiency, which means that large economies can in most cases, manage resources more efficiently than small farms. In the examined years, based on the results of the DEA model, the VRS technical efficiency of the test for these two years was 72.90% for the dairy farms and 63.60% for the beef farms, which means that the dairy sector is more efficient than the beef sector in Hungary. The VRS technical efficiency of the research was 82.10% in 2014 and 75.10% in 2015 for the dairy farms and 77.50% in 2014 and 68.90% in 2015 for the beef farms, which means that both the dairy sector and the beef sectors followed the same trend and were more efficient in 2014 compared to the efficiency in 2015. The large size dairy farms were most effective in Hungary in the examined period (90.90%). VRS technical efficiency for small farms is 88% and the total number of small, the technical efficiency medium farms was 72.80% For the beef sector VRS technical efficiency for small farms is 71.30% and the technical efficiency medium farms was 74.40% and 70% of the beef meat producing farms in Hungary are medium sized. So, the conclusion is the small size dairy farms have a higher VRS efficiency than the small size beef farms whereas medium sized beef farms had higher VRS efficiency than the medium size dairy farms. As a conclusion, both dairy and beef sectors in Hungary have the potential to overcome technology and knowledge constraints and attain the upmost attainable productivity level through improvements in; farmer volume of production i.e. output, beef cattle technologies, and advertising, and the efficiency of the technology transfer process.
JEL Code: Q13
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Corporate branding effects on consumer purchase preferences in Serbian telecom market
23-36Views:124This research is carried out to know the role of corporate branding in mobile phone network along with different influencing factors involved in the purchase of mobile telephone connections. This paper discusses corporate branding from consumer’s point of view that how much they value it and what type of role it has.This is a quantitative study. A questionnaire is used in order to investigate corporate branding and other influencing factors involved in purchase decision of the customers. Population selected for this study are Belgrade University students which is the most of Serbian youth segment and is a valuable source that gives precise information with high probability about market preferences according to the Research of Serbian republic statistical office. Primary data are obtained by collecting data from questionnaire and interview, while the secondary data are collected from various reliable sources. Primary data provide reliable content in accordance with a secondary data obtained by Serbian republic statistical office and with a Research of competitor and consumer preferences insight provided by Telenor Company. The analysis of the data has been performed in accordance with the chosen theories and summarized in a table, which serves as a tool for deriving reliable and relevant conclusions. The sample size was determined by conducting a primary study and defining the variance of primary sample and the intended number of samples was selected carefully and randomly from the population. Then the validity and reliability of the questionnaire was determined. The used questionnaire in this research consisted of 7 common, and 30 specialized questions which were supporting the hypotheses of the research. Data was analyzed using the frequency percent techniques, and in the chapter related to the deductive statistics, one-sample t test was used to analyze and approve/disapprove the questions supporting the research hypotheses. The analysis of this study reveals different set of results while making comparison between literature and empirical. It investigates the relative importance of the corporate branding to the customers in mobile phone telecommunication industry while making purchase decision. The findings of this study provided useful information which is helpful not only for the students but also for the brand managers of mobile telecom operators that how they can improve their company’s strategic position for longer period of time through corporate branding to trigger more customers and for a good brand.
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